```json
{
  "no": [1, 2, 3, 4, 5], 
  "yes": [9, 10, 11, 12, 13]
}
```

After conducting a thorough analysis of the relationship between the "educational-num" feature and the task of whether the person earns more than $50,000 per year, the following observations can be made:

- The values of the "educational-num" feature can range from 1 to 16, with each number representing a different level of education.
- Based on prior knowledge, it is observed that individuals in the "no" category (earning less than or equal to $50,000 per year) tend to have lower values for the "educational-num" feature.
- Conversely, individuals in the "yes" category (earning more than $50,000 per year) tend to have higher values for the "educational-num" feature.
- To provide specific examples, we can list 5 typical values for each target class:
  - "no": [1, 2, 3, 4, 5]
  - "yes": [9, 10, 11, 12, 13]

Please note that the specific values provided in the dictionary are just hypothetical examples and may not represent the actual distributions or cutoff points in the dataset. The analysis is based on the assumption that higher levels of education generally correlate with higher income levels.